Please look at the following output from the...

Please look at the following output from the regression. What does the value of R-square tell us about our model? Note: It is not sufficient to just provide some general answers. Use the numbers from the output, and write your answers specific to our regression model. Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 1 .771$^a$ .594 .580 21.741 a. Predictors: (Constant), DENSITY

R-SQUARE = 0.8195 R-SQUARE ADJUSTED = xxxx STANDARD ERROR OF THE ESTIMATE-SIGMA = 2.7164 SUM OF SQUARED ERRORS-USS= 199.23 VARIABLE ESTIMATED STANDARD T-RATIO NAME COEFFICIENT ERROR 27 DF INC 0.25830 0.02387 10.82 PRICE -11.390 8.636 -1.319 CONSTANT 28.598 18.69 1.530 |_ * Regression 4 Dependent Variable: PACKS Independent Variables: AGE, INCOME, PRICE R-SQUARE = 0.9146 R-SQUARE ADJUSTED = STANDARD ERROR OF THE ESTIMATE-SIGMA = 1.9042 SUM OF SQUARED ERRORS-USS= 94.274 ANALYSIS OF VARIANCE - FROM MEAN SS DF MS F EXPLAINED 1009.4 3. 336.47 92.795 UNEXPLAINED 94.274 26. 3.6259 TOTAL 1103.7 29. VARIABLE ESTIMATED STANDARD T-RATIO NAME COEFFICIENT ERROR 26 DF AGE 0.98616 0.1833 5.380 INC 0.083779 0.03650 2.295 PRICE -0.53142 6.381 -00.8328 CONSTANT -11.736 15.09 -0.7776 auxiliary regressions PACKS ON AGE ANALYSIS OF VARIANCE - FROM MEAN SS DF EXPLAINED 477.4 1. UNEXPLAINED 276.98 28 VARIABLE ESTIMATED STANDARD NAME COEFFICIENT ERROR AGE 2.588 1.2884 CONSTANT 5.99 10.09

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